As SiliconANGLE is on the ground in Vegas covering #emcworld 2012 we will also be covering the historic first Hbase Conference in SF.

This week introduces the first ever Hbase conference (Hbasecon.com) in SF and SiliconANGLE will be covering it live with a live broadcast of theCUBE.

At the Hbasecon there will be all the major players in the open source community pushing the cutting edge of performance and capabilities in Hadoop and the rise of Hbase as the standard onto of Haddop.

All of the big data companies and developers programmers and committers to the open source community will be there including:

• HBase builders/proponents: Cloudera, Hortonworks
• Not only the known cloud companies: Facebook, Salesforce, Klout, Tumblr;
• Also brand name pre-cloud companies: Adobe, Gap
• New entrants: Power management companies (m2m)
Open discussion of
• HBase wins
• HBase limitations
• Strength of open source community
• Ability to move from being database for collection and analytics or reporting to
• Ability to build real-time applications directly on top of HBase

In many respects, HBase is still very much a datawarehouse for large data sets. Specifically providing storage, constructs data marts for large and valuable data. However, these new capabilities are not yet really used for real time applications directly.

SiliconANGLE will be Looking to explore the following:
• Good case studies of building applications on top of HBase
• What works well today with Hbase
• Whats missing and forthcoming improvements for support for real time applications
• Improvements in availability and consistency
• Where HBase is used/Potential to replace traditional SQL databases
• Tradeoff of a NoSQL database
• What is required for broader enterprise adoption

The Hadoop ecosystem is rapidly evolving with key innovations around “data”. We will be diving into the conversation around the challenge and complexity of connecting applications directly to an HBase architecture. Companies are on the look out for the capability for a platform that allows applications to literally manage thousands of data points to be stored and analyzed per second. Winners in this area will be the companies that can eliminate the complexity of programming for real-time analytics and overcomes potential bottlenecks in the HBase architecture. This is the fastest growing trend in big data.

Other areas of interest that we will be following – Machine learning in an Hbase architecture. This is an important areas since HBase, on its’ own, has no built-in machine learning capabilities. This means that programmers have to write all their own API calls on top of HBase. Most often, programmers will use Apache Mahout for machine learning, however Mahout implements a MapReduce schema that offers capabilities more like batch mode than real time analytics

So much innovation is happening in this area and it’s fun time for companies like Cloudera and a new emerging ecosystem that rapidly developing fast with entrepreneurs and venture capitalists racing to fill the demand from companies in all verticals.

Join SiliconANGLE.com for continues coverage of the big data space.

editors note: big congrats to Cloudera and the evolving ecosystem of open source “tech athletes” really pushing the boundaries and revolution around new performance and capabilities.

SILICONANGLE PROGRAM NOTE: Continuous coverage of the Hadoop ecosystem will continue in June with Hadoop Summit produced by Hortonworks.  Hortonworks taking tech tracks to another level this year at Hadoop Summit.  SiliconANGLE will be broadcasting that event as well.

ENABLING NEXT GENERATION DATA PLATFORM

Hortonworks and Yahoo! are proud to host the 5th annual Hadoop Summit. The two-day event will feature many of the leading thought leaders from the Apache Hadoop community who will showcase successful Hadoop use cases, share development and administration tips and tricks and educate organizations about how to leverage Apache Hadoop as a key component of their enterprise data platform. Hadoop Summit will also be an excellent network environment for developers, architects, administrators, data analysts, data scientists and vendors interested in advancing, extending or implementing Apache Hadoop.